package mssql import ( "fmt" "math/rand" "strings" "testing" "time" "github.com/go-xorm/xorm" "github.com/grafana/grafana/pkg/components/simplejson" "github.com/grafana/grafana/pkg/log" "github.com/grafana/grafana/pkg/services/sqlstore/sqlutil" "github.com/grafana/grafana/pkg/tsdb" . "github.com/smartystreets/goconvey/convey" ) // To run this test, remove the Skip from SkipConvey // and set up a MSSQL db named grafanatest and a user/password grafana/Password! // Use the docker/blocks/mssql_tests/docker-compose.yaml to spin up a // preconfigured MSSQL server suitable for running these tests. // Thers's also a dashboard.json in same directory that you can import to Grafana // once you've created a datasource for the test server/database. // If needed, change the variable below to the IP address of the database. var serverIP string = "localhost" func TestMSSQL(t *testing.T) { SkipConvey("MSSQL", t, func() { x := InitMSSQLTestDB(t) endpoint := &MssqlQueryEndpoint{ sqlEngine: &tsdb.DefaultSqlEngine{ MacroEngine: NewMssqlMacroEngine(), XormEngine: x, }, log: log.New("tsdb.mssql"), } sess := x.NewSession() defer sess.Close() fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC).In(time.Local) Convey("Given a table with different native data types", func() { sql := ` IF OBJECT_ID('dbo.[mssql_types]', 'U') IS NOT NULL DROP TABLE dbo.[mssql_types] CREATE TABLE [mssql_types] ( c_bit bit, c_tinyint tinyint, c_smallint smallint, c_int int, c_bigint bigint, c_money money, c_smallmoney smallmoney, c_numeric numeric(10,5), c_real real, c_decimal decimal(10,2), c_float float, c_char char(10), c_varchar varchar(10), c_text text, c_nchar nchar(12), c_nvarchar nvarchar(12), c_ntext ntext, c_datetime datetime, c_datetime2 datetime2, c_smalldatetime smalldatetime, c_date date, c_time time, c_datetimeoffset datetimeoffset ) ` _, err := sess.Exec(sql) So(err, ShouldBeNil) dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC) dtFormat := "2006-01-02 15:04:05.999999999" d := dt.Format(dtFormat) dt2 := time.Date(2018, 3, 14, 21, 20, 6, 8896406e2, time.UTC) dt2Format := "2006-01-02 15:04:05.999999999 -07:00" d2 := dt2.Format(dt2Format) sql = fmt.Sprintf(` INSERT INTO [mssql_types] SELECT 1, 5, 20020, 980300, 1420070400, '$20000.15', '£2.15', 12345.12, 1.11, 2.22, 3.33, 'char10', 'varchar10', 'text', N'☺nchar12☺', N'☺nvarchar12☺', N'☺text☺', CAST('%s' AS DATETIME), CAST('%s' AS DATETIME2), CAST('%s' AS SMALLDATETIME), CAST('%s' AS DATE), CAST('%s' AS TIME), SWITCHOFFSET(CAST('%s' AS DATETIMEOFFSET), '-07:00') `, d, d2, d, d, d, d2) _, err = sess.Exec(sql) So(err, ShouldBeNil) Convey("When doing a table query should map MSSQL column types to Go types", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": "SELECT * FROM mssql_types", "format": "table", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) queryResult := resp.Results["A"] So(err, ShouldBeNil) column := queryResult.Tables[0].Rows[0] So(column[0].(bool), ShouldEqual, true) So(column[1].(int64), ShouldEqual, 5) So(column[2].(int64), ShouldEqual, 20020) So(column[3].(int64), ShouldEqual, 980300) So(column[4].(int64), ShouldEqual, 1420070400) So(column[5].(float64), ShouldEqual, 20000.15) So(column[6].(float64), ShouldEqual, 2.15) So(column[7].(float64), ShouldEqual, 12345.12) So(column[8].(float64), ShouldEqual, 1.1100000143051147) So(column[9].(float64), ShouldEqual, 2.22) So(column[10].(float64), ShouldEqual, 3.33) So(column[11].(string), ShouldEqual, "char10 ") So(column[12].(string), ShouldEqual, "varchar10") So(column[13].(string), ShouldEqual, "text") So(column[14].(string), ShouldEqual, "☺nchar12☺ ") So(column[15].(string), ShouldEqual, "☺nvarchar12☺") So(column[16].(string), ShouldEqual, "☺text☺") So(column[17].(time.Time), ShouldEqual, dt) So(column[18].(time.Time), ShouldEqual, dt2) So(column[19].(time.Time), ShouldEqual, dt.Truncate(time.Minute)) So(column[20].(time.Time), ShouldEqual, dt.Truncate(24*time.Hour)) So(column[21].(time.Time), ShouldEqual, time.Date(1, 1, 1, dt.Hour(), dt.Minute(), dt.Second(), dt.Nanosecond(), time.UTC)) So(column[22].(time.Time), ShouldEqual, dt2.In(time.FixedZone("UTC", int(-7*time.Hour)))) }) }) Convey("Given a table with metrics that lacks data for some series ", func() { sql := ` IF OBJECT_ID('dbo.[metric]', 'U') IS NOT NULL DROP TABLE dbo.[metric] CREATE TABLE [metric] ( time datetime, value int ) ` _, err := sess.Exec(sql) So(err, ShouldBeNil) type metric struct { Time time.Time Value int64 } series := []*metric{} firstRange := genTimeRangeByInterval(fromStart, 10*time.Minute, 10*time.Second) secondRange := genTimeRangeByInterval(fromStart.Add(20*time.Minute), 10*time.Minute, 10*time.Second) for _, t := range firstRange { series = append(series, &metric{ Time: t, Value: 15, }) } for _, t := range secondRange { series = append(series, &metric{ Time: t, Value: 20, }) } for _, s := range series { _, err = sess.Insert(s) So(err, ShouldBeNil) } Convey("When doing a metric query using timeGroup", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": "SELECT $__timeGroup(time, '5m') AS time, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m') ORDER BY 1", "format": "time_series", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) points := queryResult.Series[0].Points So(len(points), ShouldEqual, 6) dt := fromStart for i := 0; i < 3; i++ { aValue := points[i][0].Float64 aTime := time.Unix(int64(points[i][1].Float64)/1000, 0) So(aValue, ShouldEqual, 15) So(aTime, ShouldEqual, dt) dt = dt.Add(5 * time.Minute) } // adjust for 5 minute gap dt = dt.Add(5 * time.Minute) for i := 3; i < 6; i++ { aValue := points[i][0].Float64 aTime := time.Unix(int64(points[i][1].Float64)/1000, 0) So(aValue, ShouldEqual, 20) So(aTime, ShouldEqual, dt) dt = dt.Add(5 * time.Minute) } }) Convey("When doing a metric query using timeGroup with NULL fill enabled", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": "SELECT $__timeGroup(time, '5m', NULL) AS time, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m') ORDER BY 1", "format": "time_series", }), RefId: "A", }, }, TimeRange: &tsdb.TimeRange{ From: fmt.Sprintf("%v", fromStart.Unix()*1000), To: fmt.Sprintf("%v", fromStart.Add(34*time.Minute).Unix()*1000), }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) points := queryResult.Series[0].Points So(len(points), ShouldEqual, 7) dt := fromStart for i := 0; i < 3; i++ { aValue := points[i][0].Float64 aTime := time.Unix(int64(points[i][1].Float64)/1000, 0) So(aValue, ShouldEqual, 15) So(aTime, ShouldEqual, dt) dt = dt.Add(5 * time.Minute) } So(points[3][0].Valid, ShouldBeFalse) // adjust for 5 minute gap dt = dt.Add(5 * time.Minute) for i := 4; i < 7; i++ { aValue := points[i][0].Float64 aTime := time.Unix(int64(points[i][1].Float64)/1000, 0) So(aValue, ShouldEqual, 20) So(aTime, ShouldEqual, dt) dt = dt.Add(5 * time.Minute) } }) Convey("When doing a metric query using timeGroup with float fill enabled", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": "SELECT $__timeGroup(time, '5m', 1.5) AS time, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m') ORDER BY 1", "format": "time_series", }), RefId: "A", }, }, TimeRange: &tsdb.TimeRange{ From: fmt.Sprintf("%v", fromStart.Unix()*1000), To: fmt.Sprintf("%v", fromStart.Add(34*time.Minute).Unix()*1000), }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) points := queryResult.Series[0].Points So(points[3][0].Float64, ShouldEqual, 1.5) }) }) Convey("Given a table with metrics having multiple values and measurements", func() { type metric_values struct { Time time.Time Measurement string ValueOne int64 `xorm:"integer 'valueOne'"` ValueTwo int64 `xorm:"integer 'valueTwo'"` } if exist, err := sess.IsTableExist(metric_values{}); err != nil || exist { So(err, ShouldBeNil) sess.DropTable(metric_values{}) } err := sess.CreateTable(metric_values{}) So(err, ShouldBeNil) rand.Seed(time.Now().Unix()) rnd := func(min, max int64) int64 { return rand.Int63n(max-min) + min } series := []*metric_values{} for _, t := range genTimeRangeByInterval(fromStart.Add(-30*time.Minute), 90*time.Minute, 5*time.Minute) { series = append(series, &metric_values{ Time: t, Measurement: "Metric A", ValueOne: rnd(0, 100), ValueTwo: rnd(0, 100), }) series = append(series, &metric_values{ Time: t, Measurement: "Metric B", ValueOne: rnd(0, 100), ValueTwo: rnd(0, 100), }) } for _, s := range series { _, err = sess.Insert(s) So(err, ShouldBeNil) } Convey("When doing a metric query grouping by time and select metric column should return correct series", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": "SELECT $__timeEpoch(time), measurement + ' - value one' as metric, valueOne FROM metric_values ORDER BY 1", "format": "time_series", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) So(len(queryResult.Series), ShouldEqual, 2) So(queryResult.Series[0].Name, ShouldEqual, "Metric A - value one") So(queryResult.Series[1].Name, ShouldEqual, "Metric B - value one") }) Convey("When doing a metric query grouping by time should return correct series", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": "SELECT $__timeEpoch(time), valueOne, valueTwo FROM metric_values ORDER BY 1", "format": "time_series", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) So(len(queryResult.Series), ShouldEqual, 2) So(queryResult.Series[0].Name, ShouldEqual, "valueOne") So(queryResult.Series[1].Name, ShouldEqual, "valueTwo") }) Convey("Given a stored procedure that takes @from and @to in epoch time", func() { sql := ` IF object_id('sp_test_epoch') IS NOT NULL DROP PROCEDURE sp_test_epoch ` _, err := sess.Exec(sql) So(err, ShouldBeNil) sql = ` CREATE PROCEDURE sp_test_epoch( @from int, @to int, @interval nvarchar(50) = '5m', @metric nvarchar(200) = 'ALL' ) AS BEGIN DECLARE @dInterval int SELECT @dInterval = 300 IF @interval = '10m' SELECT @dInterval = 600 SELECT CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval as time, measurement + ' - value one' as metric, avg(valueOne) as value FROM metric_values WHERE time BETWEEN DATEADD(s, @from, '1970-01-01') AND DATEADD(s, @to, '1970-01-01') AND (@metric = 'ALL' OR measurement = @metric) GROUP BY CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval, measurement UNION ALL SELECT CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval as time, measurement + ' - value two' as metric, avg(valueTwo) as value FROM metric_values WHERE time BETWEEN DATEADD(s, @from, '1970-01-01') AND DATEADD(s, @to, '1970-01-01') AND (@metric = 'ALL' OR measurement = @metric) GROUP BY CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval, measurement ORDER BY 1 END ` _, err = sess.Exec(sql) So(err, ShouldBeNil) Convey("When doing a metric query using stored procedure should return correct result", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": `DECLARE @from int = $__unixEpochFrom(), @to int = $__unixEpochTo() EXEC dbo.sp_test_epoch @from, @to`, "format": "time_series", }), RefId: "A", }, }, TimeRange: &tsdb.TimeRange{ From: "1521117000000", To: "1521122100000", }, } resp, err := endpoint.Query(nil, nil, query) queryResult := resp.Results["A"] So(err, ShouldBeNil) fmt.Println("query", "sql", queryResult.Meta) So(queryResult.Error, ShouldBeNil) So(len(queryResult.Series), ShouldEqual, 4) So(queryResult.Series[0].Name, ShouldEqual, "Metric A - value one") So(queryResult.Series[1].Name, ShouldEqual, "Metric B - value one") So(queryResult.Series[2].Name, ShouldEqual, "Metric A - value two") So(queryResult.Series[3].Name, ShouldEqual, "Metric B - value two") }) }) Convey("Given a stored procedure that takes @from and @to in datetime", func() { sql := ` IF object_id('sp_test_datetime') IS NOT NULL DROP PROCEDURE sp_test_datetime ` _, err := sess.Exec(sql) So(err, ShouldBeNil) sql = ` CREATE PROCEDURE sp_test_datetime( @from datetime, @to datetime, @interval nvarchar(50) = '5m', @metric nvarchar(200) = 'ALL' ) AS BEGIN DECLARE @dInterval int SELECT @dInterval = 300 IF @interval = '10m' SELECT @dInterval = 600 SELECT CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval as time, measurement + ' - value one' as metric, avg(valueOne) as value FROM metric_values WHERE time BETWEEN @from AND @to AND (@metric = 'ALL' OR measurement = @metric) GROUP BY CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval, measurement UNION ALL SELECT CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval as time, measurement + ' - value two' as metric, avg(valueTwo) as value FROM metric_values WHERE time BETWEEN @from AND @to AND (@metric = 'ALL' OR measurement = @metric) GROUP BY CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval, measurement ORDER BY 1 END ` _, err = sess.Exec(sql) So(err, ShouldBeNil) Convey("When doing a metric query using stored procedure should return correct result", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": `DECLARE @from int = $__unixEpochFrom(), @to int = $__unixEpochTo() EXEC dbo.sp_test_epoch @from, @to`, "format": "time_series", }), RefId: "A", }, }, TimeRange: &tsdb.TimeRange{ From: "1521117000000", To: "1521122100000", }, } resp, err := endpoint.Query(nil, nil, query) queryResult := resp.Results["A"] So(err, ShouldBeNil) So(queryResult.Error, ShouldBeNil) So(len(queryResult.Series), ShouldEqual, 4) So(queryResult.Series[0].Name, ShouldEqual, "Metric A - value one") So(queryResult.Series[1].Name, ShouldEqual, "Metric B - value one") So(queryResult.Series[2].Name, ShouldEqual, "Metric A - value two") So(queryResult.Series[3].Name, ShouldEqual, "Metric B - value two") }) }) }) Convey("Given a table with event data", func() { sql := ` IF OBJECT_ID('dbo.[event]', 'U') IS NOT NULL DROP TABLE dbo.[event] CREATE TABLE [event] ( time_sec int, description nvarchar(100), tags nvarchar(100), ) ` _, err := sess.Exec(sql) So(err, ShouldBeNil) type event struct { TimeSec int64 Description string Tags string } events := []*event{} for _, t := range genTimeRangeByInterval(fromStart.Add(-20*time.Minute), 60*time.Minute, 25*time.Minute) { events = append(events, &event{ TimeSec: t.Unix(), Description: "Someone deployed something", Tags: "deploy", }) events = append(events, &event{ TimeSec: t.Add(5 * time.Minute).Unix(), Description: "New support ticket registered", Tags: "ticket", }) } for _, e := range events { sql = fmt.Sprintf(` INSERT [event] (time_sec, description, tags) VALUES(%d, '%s', '%s') `, e.TimeSec, e.Description, e.Tags) _, err = sess.Exec(sql) So(err, ShouldBeNil) } Convey("When doing an annotation query of deploy events should return expected result", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": "SELECT time_sec as time, description as [text], tags FROM [event] WHERE $__unixEpochFilter(time_sec) AND tags='deploy' ORDER BY 1 ASC", "format": "table", }), RefId: "Deploys", }, }, TimeRange: &tsdb.TimeRange{ From: fmt.Sprintf("%v", fromStart.Add(-20*time.Minute).Unix()*1000), To: fmt.Sprintf("%v", fromStart.Add(40*time.Minute).Unix()*1000), }, } resp, err := endpoint.Query(nil, nil, query) queryResult := resp.Results["Deploys"] So(err, ShouldBeNil) So(len(queryResult.Tables[0].Rows), ShouldEqual, 3) }) Convey("When doing an annotation query of ticket events should return expected result", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": "SELECT time_sec as time, description as [text], tags FROM [event] WHERE $__unixEpochFilter(time_sec) AND tags='ticket' ORDER BY 1 ASC", "format": "table", }), RefId: "Tickets", }, }, TimeRange: &tsdb.TimeRange{ From: fmt.Sprintf("%v", fromStart.Add(-20*time.Minute).Unix()*1000), To: fmt.Sprintf("%v", fromStart.Add(40*time.Minute).Unix()*1000), }, } resp, err := endpoint.Query(nil, nil, query) queryResult := resp.Results["Tickets"] So(err, ShouldBeNil) So(len(queryResult.Tables[0].Rows), ShouldEqual, 3) }) Convey("When doing an annotation query with a time column in datetime format", func() { dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC) dtFormat := "2006-01-02 15:04:05.999999999" query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": fmt.Sprintf(`SELECT CAST('%s' AS DATETIME) as time, 'message' as text, 'tag1,tag2' as tags `, dt.Format(dtFormat)), "format": "table", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) So(len(queryResult.Tables[0].Rows), ShouldEqual, 1) columns := queryResult.Tables[0].Rows[0] //Should be in milliseconds So(columns[0].(float64), ShouldEqual, float64(dt.Unix()*1000)) }) Convey("When doing an annotation query with a time column in epoch second format should return ms", func() { dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC) query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": fmt.Sprintf(`SELECT %d as time, 'message' as text, 'tag1,tag2' as tags `, dt.Unix()), "format": "table", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) So(len(queryResult.Tables[0].Rows), ShouldEqual, 1) columns := queryResult.Tables[0].Rows[0] //Should be in milliseconds So(columns[0].(int64), ShouldEqual, int64(dt.Unix()*1000)) }) Convey("When doing an annotation query with a time column in epoch second format (int) should return ms", func() { dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC) query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": fmt.Sprintf(`SELECT cast(%d as int) as time, 'message' as text, 'tag1,tag2' as tags `, dt.Unix()), "format": "table", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) So(len(queryResult.Tables[0].Rows), ShouldEqual, 1) columns := queryResult.Tables[0].Rows[0] //Should be in milliseconds So(columns[0].(int64), ShouldEqual, int64(dt.Unix()*1000)) }) Convey("When doing an annotation query with a time column in epoch millisecond format should return ms", func() { dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC) query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": fmt.Sprintf(`SELECT %d as time, 'message' as text, 'tag1,tag2' as tags `, dt.Unix()*1000), "format": "table", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) So(len(queryResult.Tables[0].Rows), ShouldEqual, 1) columns := queryResult.Tables[0].Rows[0] //Should be in milliseconds So(columns[0].(float64), ShouldEqual, float64(dt.Unix()*1000)) }) Convey("When doing an annotation query with a time column holding a bigint null value should return nil", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": `SELECT cast(null as bigint) as time, 'message' as text, 'tag1,tag2' as tags `, "format": "table", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) So(len(queryResult.Tables[0].Rows), ShouldEqual, 1) columns := queryResult.Tables[0].Rows[0] //Should be in milliseconds So(columns[0], ShouldBeNil) }) Convey("When doing an annotation query with a time column holding a datetime null value should return nil", func() { query := &tsdb.TsdbQuery{ Queries: []*tsdb.Query{ { Model: simplejson.NewFromAny(map[string]interface{}{ "rawSql": `SELECT cast(null as datetime) as time, 'message' as text, 'tag1,tag2' as tags `, "format": "table", }), RefId: "A", }, }, } resp, err := endpoint.Query(nil, nil, query) So(err, ShouldBeNil) queryResult := resp.Results["A"] So(queryResult.Error, ShouldBeNil) So(len(queryResult.Tables[0].Rows), ShouldEqual, 1) columns := queryResult.Tables[0].Rows[0] //Should be in milliseconds So(columns[0], ShouldBeNil) }) }) }) } func InitMSSQLTestDB(t *testing.T) *xorm.Engine { x, err := xorm.NewEngine(sqlutil.TestDB_Mssql.DriverName, strings.Replace(sqlutil.TestDB_Mssql.ConnStr, "localhost", serverIP, 1)) x.DatabaseTZ = time.UTC x.TZLocation = time.UTC // x.ShowSQL() if err != nil { t.Fatalf("Failed to init mssql db %v", err) } return x } func genTimeRangeByInterval(from time.Time, duration time.Duration, interval time.Duration) []time.Time { durationSec := int64(duration.Seconds()) intervalSec := int64(interval.Seconds()) timeRange := []time.Time{} for i := int64(0); i < durationSec; i += intervalSec { timeRange = append(timeRange, from) from = from.Add(time.Duration(int64(time.Second) * intervalSec)) } return timeRange }